How Does Early-Life Environment Influence the White Matter Architecture of the Brain?

Post by Soumilee Chaudhuri 

The takeaway

Early-life environments exert broad, system-level influences on white matter architecture across the brain. These structural differences, in turn, predict meaningful variation in cognitive abilities during adolescence. 

What's the science?

While white matter tracts in the brain are present at birth, they continue to mature in a highly experience-dependent manner throughout childhood. This maturation is influenced by neuronal activity and environmental exposures, particularly those characterized by adversity. Early-life adversity can affect white matter development through altered myelination, immune activation, and inflammatory processes—factors that may underlie the established links between adverse environments and later cognitive outcomes. Recently, in PNAS, Carozza and colleagues investigated how early life environments—both adverse and protective—are associated with brain development in children. 

How did they do it?

Using diffusion MRI data from 9,291 children (mean age 9.5 years) in the Adolescent Brain Cognitive Development (ABCD Study), researchers assessed the associations between socioeconomic status, adversity, and resilience and white matter microstructure, which supports brain connectivity and function. Cognitive abilities were assessed using three tests: a language ability test, an inhibitory control test, and a math ability test. The language test involved matching words with pictures, the inhibitory control test assessed how well children could ignore distractions while reading emotional words, and the math ability test measured how quickly and accurately children could solve math problems. For analysis, the researchers used partial least squares (PLS) regression to explore the relationship between early-life factors, such as socioeconomic status, and brain structure. They employed matching techniques to test whether adversity-associated white matter differences were relevant for cognition.

What did they find?

The study found that higher family income was significantly associated with higher Fractional Anisotropy (FA), a measure of white matter quality, in key areas, and these associations held even after adjusting for age, sex, differences in MRI scanner site, and body mass index.

Next—in the data-driven analysis used to examine 73 major white matter tracts and their relationship to 19 environmental variables; the researchers found that greater neighborhood vulnerability, trauma exposure, and caregiver substance use were each significantly associated with lower white matter integrity across the whole brain, while higher income and two-parent households were associated with higher white matter quality. Importantly, these associations between the environment and the brain formed one single pattern, rather than individual factors having selective relationships with specific white matter tracts. Among children living below the poverty line, lower global white matter quality was significantly associated with lower cognition, including math and language performance.

Overall, the researchers confirmed earlier findings showing that children from lower-income households or those exposed to adversity tend to have differences in their brain’s white matter. It was shown that children who experienced more adversity or lacked supportive environments had lower levels of white matter integrity across nearly the entire brain, not just in a few areas. These brain differences were related to how well children later performed on tasks involving language and math. Importantly, social and environmental supports—like positive parenting or strong neighborhood ties—were linked to healthier white matter development, suggesting they might help protect the brain despite difficult circumstances. 

What's the impact?

This study is a comprehensive examination of how early-life environments shape the brain’s white matter development on a whole-brain level, using a large, population-representative adolescent cohort. This research shows that supporting children’s environments early in life can make a real difference in brain and cognitive development, and that we should think about the brain as a connected system, not just isolated pieces. In particular, growing up in environments with lower economic resources and social support is linked to widespread differences in how white matter develops. These brain differences matter: they are connected to how well children do later in important areas like language and problem-solving.

Long-Term Exercise Boosts Brain Waste Clearance

Post by Meagan Marks

The takeaway

Long-term physical exercise makes it easier for the brain to clear toxic waste, promoting healthy cognitive function and potentially slowing the progression of neurological diseases. 

What's the science?

As you sleep, your brain clears toxic waste products through a specialized network of channels called the glymphatic system. This system transports harmful substances, such as damaged proteins and nonfunctional metabolites, from the fluid between your brain cells into your cerebrospinal fluid, which surrounds and cushions the brain. From there, the waste flows into the meningeal lymphatic vessels and nodes, where it is eventually eliminated from the body through the lymphatic system. 

When the glymphatic system gets disrupted or clogged, waste products accumulate, which can hinder brain function and potentially contribute to the progression of neurological diseases. Finding ways to boost this waste clearance process has been of keen interest, as enhancing it may help prevent neurological disease and promote healthy brain aging. 

This week in Nature Communications, Yoo and colleagues explore a potential technique to enhance brain waste clearance, showing that long-term exercise may boost the efficiency of the glymphatic and meningeal lymphatic drainage systems. 

How did they do it?

To investigate the impact of exercise on the brain’s waste clearance system, the authors enlisted 37 adult participants. Sixteen of these participants were instructed to engage in 30-minute cycling sessions three times a week for three months, with exercise intensity progressively increasing each week. The remaining participants completed a single 30-minute cycling session.

Before and following exercise, the authors collected blood samples and conducted MRI scans on all participants. The blood samples were analyzed for changes in protein expression, while the imaging protocol included advanced techniques such as intravenous contrast-enhanced dynamic T1 imaging and interslice flow imaging (to trace blood flow throughout the brain), and black blood imaging (to visualize blood vessel structure). The primary focus of the imaging was on the glymphatic channels within the putamen, a brain region essential for motor control and learning, as well as the meningeal lymphatic vessels.

What did they find?

The authors found that long-term exercise significantly boosted the flow in both glymphatic and meningeal lymphatic vessels, whereas short-term exercise did not result in changes. Additionally, the size of the meningeal lymphatic vessels increased with long-term exercise, indicating more efficient fluid circulation. These results suggest that consistent exercise may enhance glymphatic drainage, supporting more effective waste removal in the brain.

Furthermore, the study identified 15 differentially expressed proteins in the long-term exercise group. These proteins were primarily involved in inflammation and immunity, with proinflammatory proteins being downregulated and immune-boosting proteins being upregulated. This suggests that the long-term exercise had both anti-inflammatory and immune-boosting effects, which potentially played a role in the improvement of brain drainage. 

What's the impact?

This study found that long-term exercise enhances the function of the brain's waste clearance system, which is essential for maintaining healthy brain function. These findings suggest that consistent exercise can be a valuable tool for preventing neurological diseases. However, since most participants in this study were on the younger and healthier side, it’s important to explore how exercise might influence the progression of disease in older individuals or those already affected by neurological conditions. 

Access the original scientific publication here.

How Do Brain Dynamics Affect Cognitive Performance?

Post by Meredith McCarty

The takeaway

The brain criticality hypothesis is a unifying theory of brain function and dysfunction, but lacks thorough empirical evidence. This study provides evidence linking cognitive function and critical dynamics in humans with epilepsy. 

What's the science?

Cognitive impairments, including learning, memory, and attention difficulties, are a feature of numerous disorders and can stem from many factors that are difficult to model in a unified framework. 

The brain criticality hypothesis is a theoretical framework that links brain structure to its dynamics, with potential for use in understanding brain function and dysfunction. Within this “critical dynamics” framework, optimal network dynamics occur at an equilibrium between order and disorder, with optimal long-range temporal correlation (TC) of brain activity occurring at long time delays. Without direct access to measures of TC within brain networks, prior attempts to apply the critical dynamics framework to understand cognitive function and dysfunction have fallen short. 

This week in PNAS, Müller and colleagues investigated the relationship between cognitive impairment and critical dynamics using extensive neural recordings in humans. 

How did they do it?

To effectively capture the neural dynamics central to this theoretical framework, the authors analyzed previously collected datasets from 104 people (47 female) with epilepsy who had electrodes implanted in their brains for presurgical evaluation. Unlike prior non-invasive studies in a similar vein, this dataset allowed the authors to analyze data directly recorded from neural tissue and quantify the temporal correlation (TC) of brain dynamics as a measure of signal decay over time. 

They related the changes in TC in individual participants to measures of cognitive impairment, which were captured via cognitive testing that measured levels of language, attention, working memory, and verbal learning. Additional factors analyzed included the dose of anti-seizure medication (ASM) given, occurrence of interictal epileptiform discharges (IEDs), and occurrence of slow-wave sleep (SWS) during each day of the participant’s recording. 

To understand how these factors relate to overall network dynamics, the authors studied a neural network model, consisting of 1024 neurons, and were able to simulate how anti-seizure medication, occurrence of interictal epileptiform discharges, and occurrence of slow-wave sleep significantly changed TC and other measures of network dynamics. 

What did they find?

Analysis of the neural network model revealed optimal dynamics when TCs were maximized, and that simulating the network effects of slow-wave sleep, interictal epileptiform discharges, and anti-seizure medication all reduced TCs, leading to impaired dynamics. 

They found the same decreased TC with increased slow-wave sleep, interictal epileptiform discharges, and anti-seizure medication in the neural data recorded from epilepsy patients as in the neural network model. Interestingly, interictal epileptiform discharges led to TC reduction in a dose-dependent way, which points to a potential mechanism by which epileptic activity may lead to cognitive impairments. 

They found some evidence that tissue in the seizure onset zone (where seizures typically originate) was closer to criticality, with longer TCs, potentially linking these critical dynamics and potential imbalances to seizure initiation. Further statistical analyses revealed that TC changes significantly predicted cognitive task performance, with decreased TC predicting attention, working memory, and language impairment. 

What's the impact?

This study found that TC predicts cognitive performance and is perturbed by slow-wave sleep, interictal epileptiform discharges, and anti-seizure medication in people with epilepsy. Further research into critical dynamics in neurotypical individuals and those with neuropsychiatric disorders will be key in developing a unifying framework by which to understand cognition and potential therapeutic targets in the human brain. 

Access the original scientific publication here